GOOD TO KNOW

GOOD TO KNOW

This track gives you the essential background you need to work responsibly with AI applications, and it is aimed at developers, product managers, or anyone who builds or oversees AI‑powered tools. After completing the four chapters you will be able to defend your app against prompt injection and abuse, calculate token usage and control spending, keep private data out of AI prompts, and set up evaluations that objectively measure whether your model meets its goals. Each skill is drawn directly from a chapter: security, cost management, privacy protection, and testing. Start with the security chapter to learn basic defenses, then move on to understanding token economics and pricing. Follow with privacy practices before finishing with evaluation methods so you can verify everything you built works as intended. If you are short on time, you can skip the privacy chapter after reviewing its key points in the cost section, but be sure to at least skim it, because data leaks often stem from cost‑cutting shortcuts.